Next-Generation Recommender Systems: Collective Intelligence and Multi-Agent AI
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 15 March 2027 | Viewed by 150
Special Issue Editors
Interests: recommender systems; trustworthy recommendation; explainability and fairness in recommender systems; responsible AI
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit your research to this Special Issue of Algorithms titled “Next-Generation Recommender Systems: Collective Intelligence and Multi-Agent AI”.
The rapid convergence of Generative AI and autonomous frameworks is redefining the role of recommendation in the digital age. Beyond passive filtering, recommender systems are evolving into proactive, reasoning-enabled ecosystems that prioritize user agency and long-term societal impact. This Special Issue seeks to capture this shift by exploring the synergy between Multi-Agent Systems (MASs), Collective Intelligence, and the emerging paradigms of Agentic AI. At the same time, we remain deeply committed to the fundamental pillars of Trustworthy Systems. We particularly welcome research that advances the state of the art in explainability, fairness, and context-awareness, especially within high-stakes domains such as e-health, e-learning, and socially aware recommendation. Our goal is to provide a high-impact platform that bridges the gap between theoretical algorithmic foundations and the delivery of reliable, human-centered solutions in real-world environments.
We seek high-quality technical contributions addressing, among others, the following topics:
- Foundations and Algorithms: Scalability, performance, novel recommendation paradigms, and agent-based architectures.
- Multi-Agent and AI-Driven Recommender Systems: Agent-based models, coordination and negotiation, LLM-enhanced systems, and reasoning in recommendation pipelines.
- Collective Intelligence and Decentralized Systems: Socially aware and context-aware recommendation, multi-stakeholder systems, and the use of Distributed Ledger Technologies (DLT/Blockchain) for transparency and decentralized decision-making.
- Generative AI and Reasoning: Conversational recommendation, Large Language Models (LLMs), multimodal systems, and reasoning-enhanced approaches.
- Ethics and Society: Bias, fairness, filter bubbles, safety, privacy (including privacy-by-design), and societal implications of recommender systems.
- Human–Computer Interaction: User interfaces, explainability, transparency, user control, and user studies in real-world environments.
- Evaluation and Reproducibility: Novel evaluation methodologies and metrics (beyond accuracy), benchmarking, reproducibility, and sustainability considerations.
- Applications and Domains: Cross-domain recommendation, real-world applications and deployments, and data-centric challenges.
We welcome original research articles and comprehensive review papers. We look forward to receiving your contributions.
Dr. Raciel Yera
Dr. Francisco J. Quesada Real
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- recommender systems
- multi-agent systems
- collective intelligence
- generative AI
- distributed ledger technologies
- algorithmic fairness
- user-centered AI
- trustworthy systems
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